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GPT-3.5 Turbo 16k vs Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-3.5 Turbo 16k and Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image).

OpenAI

GPT-3.5 Turbo 16k

This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...

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Google

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...

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Technical Specifications

SpecificationGPT-3.5 Turbo 16kNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
ProviderOpenAIGoogle
Context Window16,385 tokens65,536 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2023-08-282026-06-30

API Pricing Comparison

Input Price per Million Tokens

GPT-3.5 Turbo 16k

$3.00

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

$0.25

Output Price per Million Tokens

GPT-3.5 Turbo 16k

$4.00

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

$1.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

GPT-3.5 Turbo 16k Quirks & Gotchas

No developer gotchas reported.

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) Quirks & Gotchas

No developer gotchas reported.